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  •         李华雄,南京大学、加拿大University of Regina联合培养博士,南京大学教授、博士生导师,香港大学访问学者。IEEE/ACM/CAAI高级会员,CCF杰出会员。

            现任南京大学控制科学与智能工程系主任, 中国自动化学会(CAA)系统仿真专委会委员,江苏省自动化学会(JSAA)理事,中国人工智能学会(CAAI)粒计算与知识发现专委会、机器学习专委会委员,中国计算机学会(CCF)人工智能与模式识别专委会执行委员、计算机视觉专委会委员,江苏省人工智能学会(JSAI)模式识别专委会委员,江苏省第六期“333高层次人才培养工程”培养对象,国际粗糙集学会(IRSS)高级会员。

    科研工作:先后主持国家自然科学基金项目3项,主持国家重点研发计划项目子项、江苏省自然科学基金面上项目、教育部博士点基金项目、教育部产学合作项目等项目10余项,参与国家自然科学基金重点项目、国家重点研发计划项目等项目10余项,在IEEE TPAMI, TNNLS, TKDE, TCYB, TCSVT, TFS, TMM, ACM MM, AAAI, ICML,《中国科学: 信息科学》,《自动化学报》,《模式识别与人工智能》等国内外期刊和会议上发表学术论文100余篇,其中SCI期刊论文50余篇,Google Scholar论文引用3800+,先后8篇论文入选ESI高被引论文。入选2022年度Elsevier全球引用前2%顶尖科学家榜单。

    教学工作:主讲课程包括《自动控制原理》、《现代控制理论》、《线性系统理论》、《工程矩阵论》等课程。指导本科生获2016中国教育机器人大赛特等奖,获2016、2019南京大学中国银行优秀教学成果奖,指导研究生获评“2022年度江苏省优秀学术硕士学位论文”。

    研究方向:目前研究兴趣和方向主要围绕“控制科学与工程”一级学科下的“模式识别与智能系统”二级学科方向,包括机器学习与智能控制、模式识别、数据挖掘、工业智能、跨模态检索、多模态学习、多视图学习、哈希学习、小样本学习、对比学习、深度学习、粒计算与知识发现、机器学习中的交替优化方法等。每年招收硕士生5名左右(学硕+专硕),主要招收有意从事学术论文工作的研究生。

    招收研究生要求:自动化类、电子信息类、计算机类、数学类、物理类等理工科专业背景均可;具有强烈的科研兴趣、科研热情和内驱力。欢迎数学成绩突出、英语功底扎实,Python、Matlab编程能力强、对智能控制理论和方法、机器学习与数据挖掘、模式识别与人工智能、粒计算与知识发现、图像处理、工业智能等方向有兴趣的优秀学子加入我们团队(Email: huaxiongli@nju.edu.cn).


    Selected Publications:

    • C. Zhang, X. Y. Jia, Z. C. Li, C. L. Chen, H. X. Li*. Learning cluster-wise anchors for multi-view clustering. AAAI Conference on Artificial Intelligence (AAAI 2024), Accepted.   

    • H. X. Chen, Z. X. Gu, Y. H. Li, C. H. Meng, W. Q. Wang*, H. X. Li*. Hierarchical dynamic image harmonization. ACM International Conference on Multimedia (ACM MM), 2023, 1422–1430.

    • C. Zhang, J. W. Wei, B. Wang, Z. C. Li, C. L. Chen, H. X. Li*. Robust spectral embedding completion based incomplete multi-view clustering. ACM International Conference on Multimedia (ACM MM), 2023, 300–308.

    • H. X. Chen, H. X. Li*, Y. H. Li, C. L. Chen. Sparse spatial transformers for few-shot learning. SCIENCE CHINA Information Sciences (Sci China Inf Sci), 2023, 66(11): 210102.

    • Z. Z. Huang, H. X. Chen, Z. Q. Wen, C. Zhang, H. X. Li*, B. Wang, C. L. Chen. Model-aware contrastive learning: Towards escaping dilemmas. International Conference on Machine Learning (ICML), 2023, 202: 13774-13790.

    • C. Zhang, H. X. Li*, W. Lv, Z. Z. Huang, Y. Gao, C. L. Chen. Enhanced tensor low-rank and sparse representation recovery for incomplete multi-view clustering. AAAI Conference on Artificial Intelligence (AAAI), 2023, 37(9), 11174-11182.

    • W. Lv, C. Zhang*, H. X. Li, X. Y. Jia, C. L. Chen. Joint projection learning and tensor decomposition-based incomplete multiview clustering. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023, doi: 10.1109/TNNLS.2023.3306006.

    • Y. N. Lu, W. W. Li, H. X. Li, X. Y. Jia*. Predicting label distribution from tie-allowed multi-label ranking. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023, doi: 10.1109/TPAMI.2023.3300310.

    • H. X. Li*, C. Zhang, X. Y. Jia, Y. Gao, C. L. Chen. Adaptive label correlation based asymmetric discrete hashing for cross-modal retrieval. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023, 35(2): 1185-1199.

    • C. Zhang, H. X. Li*, C. L. Chen, Y. H. Qian, X. Z. Zhou. Enhanced group sparse regularized nonconvex regression for face recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022, 44(5): 2438-2452.

    • W. T. Fan, C. Zhang, H. X. Li*, X. Y. Jia, G. Y. Wang. Three-stage semisupervised cross-modal hashing with pairwise relations exploitation. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023, doi: 10.1109/TNNLS.2023.3263221.

    • C. Zhang, H. X. Li*, Y. Gao, C. L. Chen. Weakly-supervised enhanced semantic-aware hashing for cross-modal retrieval, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023, 35(6): 6475-6488.

    • K. Y. Luo, C. Zhang, H. X. Li*, X. Y. Jia, C. L. Chen. Adaptive marginalized semantic hashing for unpaired cross-modal retrieval. IEEE Transactions on Multimedia (TMM), 2023, doi: 10.1109/TMM.2023.3245400.

    • W. Y. Zhong, H. X. Li*, Q. H. Hu, Y. Gao, C. L. Chen. Multi-level cascade sparse representation learning for small data classification. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2023, 33(5): 2451-2464.

    • J. B. Liu*, B. Huang, H. X. Li, X. Z. Bu, X. Z. Zhou. Optimization-based three-way decisions with interval-valued intuitionistic fuzzy information. IEEE Transactions on Cybernetics (TCYB), 2023, 53(6): 3829-3843.

    • C. Zhang, H. X. Li*, Y. H. Qian, C. L. Chen, X. Z. Zhou. Locality-constrained discriminative matrix regression for robust face identification. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022, 33(3): 1254-1268.

    • T. X. Wang, H. X. Li*, Y. H. Qian, B. Huang and X. Z. Zhou. A regret-based three-way decision model under interval type-2 fuzzy environment. IEEE Transactions on Fuzzy Systems (TFS), 2022, 30(1): 175-189.

    • Y. H. Li, Y. Z. Yang, H. X. Li*, H. X. Chen, L. W. Xu, L. D. Li, Y. Q. Li*, Y. D. Guo. Transductive aesthetic preference propagation for personalized image aesthetics assessment. ACM International Conference on Multimedia (ACM MM), 2022, 896-904.

    • C. Zhang, H. X. Li*, Y. H. Qian, C. L. Chen, Y. Gao. Pairwise relations oriented discriminative regression. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2021, 31(7): 2646-2660.

    • Z. P. Ren, D. Y. Dong, H. X. Li*, C. L. Chen*. Self-paced prioritized curriculum learning with coverage penalty in deep reinforcement learning. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2018, 29(6): 2216-2226.

    • C. Zhang, H. X. Li, C. H. Chen, X. Y. Jia, C. L. Chen*. Low-rank tensor regularized views recovery for incomplete multiview clustering. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022, doi.org/10.1109/TNNLS.2022.3232538.